Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010
Malawi, 2010
Get MicrodataCreated on
Sep 16, 2015
Last modified
Mar 29, 2019
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- Data files
- baseline_controls_public
- SIHR3_PI_S1_public
- SIHR3_PI_S2_public
- SIHR3_PI_S3_public
- SIHR3_PI_S4_public
- SIHR3_PI_S5_public
- SIHR3_PI_S6a_public
- SIHR3_PI_S6b_public
- SIHR3_PI_S6c_public
- SIHR3_PI_S7_public
- SIHR3_PI_S8_public
- SIHR3_PII_S9A_public
- SIHR3_PII_S9B_public
- SIHR3_PII_S10A_public
- SIHR3_PII_S10B_public
- SIHR3_PII_S11A_public
- SIHR3_PII_S11B_public
- SIHR3_PII_S12_public
- SIHR3_PII_S13A_public
- SIHR3_PII_S13B_public
- SIHR3_PII_S14_public
- SIHR3_PII_S15A_public
- SIHR3_PII_S15B_public
- SIHR3_PII_S16_public
- SIHR3_PII_S17A_public
- SIHR3_PII_S17B_public
- SIHR3_PII_S18_public
- SIHR3_PII_S19_public
- SIHR3_PII_S20A_public
- SIHR3_PII_S20B_public
- SIHR3_PII_S20C_public
- SIHR3_PII_S21_public
- SIHR_identifiers
Clothing (including chitenjes, fabric, cloth, footwear) (s5q07)
Data file: SIHR3_PI_S5_public
Overview
Valid:
3348
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
95
End:
102
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
How much in total did your household spend in the past one month on […] ? (in MK)
Categories
| Value | Category |
|---|---|
| 0 | |
| 40 | |
| 50 | |
| 60 | |
| 80 | |
| 90 | |
| 100 | |
| 120 | |
| 130 | |
| 150 | |
| 160 | |
| 180 | |
| 200 | |
| 220 | |
| 230 | |
| 250 | |
| 270 | |
| 280 | |
| 300 | |
| 330 | |
| 350 | |
| 360 | |
| 370 | |
| 380 | |
| 400 | |
| 430 | |
| 450 | |
| 470 | |
| 500 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 570 | |
| 580 | |
| 590 | |
| 600 | |
| 620 | |
| 650 | |
| 700 | |
| 750 | |
| 800 | |
| 850 | |
| 890 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1120 | |
| 1150 | |
| 1180 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1338 | |
| 1350 | |
| 1400 | |
| 1450 | |
| 1490 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1780 | |
| 1800 | |
| 1850 | |
| 1880 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2120 | |
| 2150 | |
| 2200 | |
| 2300 | |
| 2365 | |
| 2400 | |
| 2450 | |
| 2480 | |
| 2500 | |
| 2650 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3050 | |
| 3100 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3800 | |
| 3950 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 4700 | |
| 5000 | |
| 5400 | |
| 5500 | |
| 5700 | |
| 6000 | |
| 6200 | |
| 6500 | |
| 7000 | |
| 7350 | |
| 7500 | |
| 8000 | |
| 9000 | |
| 10000 | |
| 15000 | |
| 20000 | |
| 23000 | |
| 88888888 | Don't know |
| 99999999 | Missing |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.